Delayed Kalman filter for vision-based autonomous flight in ocean environments

K Gamagedara, T Lee, M Snyder - Control Engineering Practice, 2024 - Elsevier
This paper presents the developments of flight hardware and software for a multirotor
unmanned aerial vehicle, performing autonomous take-off and landing on a moving vessel …

Unifying foundation models with quadrotor control for visual tracking beyond object categories

A Saviolo, P Rao, V Radhakrishnan… - … on Robotics and …, 2024 - ieeexplore.ieee.org
Visual control enables quadrotors to adaptively navigate using real-time sensory data,
bridging perception with action. Yet, challenges persist, including generalization across …

Autonomous Landing on a Moving Platform Using Vision-Based Deep Reinforcement Learning

P Ladosz, M Mammadov, H Shin… - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
This letter describes autonomous landing of an unmanned aircraft system on a moving
platform using vision and deep reinforcement learning. Landing on the moving platform …

UAV control in autonomous object-goal navigation: a systematic literature review

A Ayala, L Portela, F Buarque, BJT Fernandes… - Artificial Intelligence …, 2024 - Springer
Research interest in autonomous control of unmanned aerial vehicles (UAVs) has increased
rapidly over the past decade. They are now widely used in civilian, military, and private …

A Vision-Based Autonomous Landing Guidance Strategy for a Micro-UAV by the Modified Camera View

L Mu, Q Li, B Wang, Y Zhang, N Feng, X Xue, W Sun - Drones, 2023 - mdpi.com
Autonomous landing is one of the key technologies for unmanned aerial vehicles (UAVs)
which can improve task flexibility in various fields. In this paper, a vision-based autonomous …

Fiducial Marker-Based Autonomous Landing Using Image Filter and Kalman Filter

Y Park, C Park, W Song, C Lee, J Kwon, J Park… - International Journal of …, 2024 - Springer
Autonomous take-off and landing are essential to perform continuous missions of unmanned
aerial vehicles (UAVs) using drone stations. Generally, this is impossible to land on the …

Robust Online Predictive Visual Servoing for Autonomous Landing of a Rotor UAV

L Yang, X Wang, Z Liu, L Shen - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper presents a novel approach that integrates image-based visual servoing (IBVS)
with online model predictive control (MPC) for landing a rotor Unmanned Aerial Vehicle …

Autonomous Landing of Quadrotor Unmanned Aerial Vehicles Based on Multi-Level Marker and Linear Active Disturbance Reject Control

M Lv, B Fan, J Fang, J Wang - Sensors, 2024 - mdpi.com
Landing on unmanned surface vehicles (USV) autonomously is a critical task for unmanned
aerial vehicles (UAV) due to complex environments. To solve this problem, an autonomous …

An Anti-Windup Method Based on an LADRC for Miniaturized Inertial Stabilized Platforms on Unmanned Vehicles in Marine Applications

T Fu, L Guan, Y Gao, C Qin - Journal of Marine Science and Engineering, 2024 - mdpi.com
This paper investigates an anticipatory activation anti-windup approach based on Linear
Active Disturbance Rejection Control (LADRC) to address the influences of accelerated …

A nonlinear model predictive control based control method to quadrotor landing on moving platform

B Zhu, BJ Zhang, Q Ge - Cognitive Computation and Systems, 2023 - Wiley Online Library
To address the problems that the UAV (Unmanned Aerial Vehicle) is vulnerable to distance
limitation and environmental interference when tracking and landing on a moving platform …